مشروع البحث: Handwritten arabic words recognition based on multiple layers perceptron
| dc.contributor.advisor | د.ادريس ساسي الفقي | |
| dc.date.accessioned | 2026-07-07T07:35:21Z | |
| dc.date.available | 2026-07-07T07:35:21Z | |
| dc.description | Words and characters recognition methods have been improved since many years. These methods used for printed or handwritten scripts and used two different approaches of processing which are online and offline. It has been gaining more interest lately due to the increasing popularity of handheld computers, digital notebooks, and advanced cellular phones. These devices nowadays are commonly used worldwide that encouraged companies to improve their products to support multi languages. these devices can deal with many languages spoken by billions of people around the world | |
| dc.description.abstract | Handwriting recognition technology is the ability of a computer to recognize characters, words and other symbols that have been written by hand in natural handwriting. This study presents a method for recognition of UHandwritten Arabic Words (HAW) through expanding in the way of structural features extraction in order to make it more accurate when it comes to recognition. The input to the system is binary images written by hand by a number of people. The features are to convert the image from two dimensional into one dimensional as a victor that is to be used as a signature for the image. | |
| dc.identifier | 5858 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/2430 | |
| dc.subject | Multiple Layers Perceptron | |
| dc.title | Handwritten arabic words recognition based on multiple layers perceptron | |
| dspace.entity.type | Project | |
| project.endDate | 2015 | |
| project.funder.name | الهندسة الكهربائية والحاسوب | |
| project.investigator | سالم على العود | |
| project.startDate | 2014 |